Supervised Learning - English

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Outline:

Supervised Learning About Machine Learning and its types. About iris species and its measurement parameters. Load the iris dataset and libraries. How to pose a Machine Learning problem? About supervised learning and its types. About Naive Bayes classifier. Use the test set to evaluate the performance of the model. Train a classification model with a Naive Bayes classifier. Confusion matrix and its use. Check the accuracy using True positive and True negative values.